iPhone 13
Geekbench AI Score
3097
Single Precision Score
3502
Half Precision Score
3290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1062
197.4 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
96% |
883
164.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2244
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9348
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10025
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (Q)
|
92% |
906
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
4458
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
3601
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
4086
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6835
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7730
59.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6435
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16513
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19442
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2523
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1601
27.7 IPS |
